The Stock
Recruitment Fitting Model (SRFIT)
performs MSY reference points calculations. The model can be used to
fit Beverton-Holt or Ricker curves to time series of stock recruitment
data assuming either uncorrelated or serially-correlated errors.
Informative or uninformative prior distributions for stock-recruitment
curves may also be specified. Life history and fishery parameters are
used to calculate yield and spawning biomass per recruit based on
standard algorithms.
A standard Sissenwine-Shepherd analysis is applied to compute
MSY reference points conditioned on model configuration. Markov Chain
Monte Carlo simulation is used to characterize posterior distributions
of MSY reference points.
Bayesian and Aikaike information criterion are computed for
selection among alternative models or for model-averaging across a set
of credible models.
The calculation engine was written in AD Model
Builder by Dr. Jon Brodziak of the NMFS Pacific Islands Science Center
and Dr. Christopher Legault of the NMFS
Northeast Fisheries Science Center.
